Modern day software applications have millions of concurrent users. Development of an efficiently serviceable application requires a huge amount of effort and requires many tools and techniques. Software developers always try to improve the performance of the application by improving design, coding and database development. For database development, query optimization and evaluation techniques are playing vital parts.

Selection of required field only.

It is very important to avoid unnecessary data selection of the query. We should select a data field that we need but not all fields of the table.

SELECT login_id, pawwsord FROM tbluser

Index

Properly created Indexes help to optimize search results. You need to better understand the databases before the selection of a better performing index. The selection of a highly used field as an index is very important.

CREATE clustered INDEX ind_login_id ON tbluser(login_id)

Primary Key

The Primary Key is the most important index of the table. The most important thing about a Primary Key is the selection of a short and unique field. This will lead to easy access to the data records.

The indexing of a unique column will improve searching and increase the efficiency of the database. You must have a better understanding of the data field and their utilization before indexing a unique column. The indexing of a less used column does not help improve the efficiency of the database.

CREATEINDEX ind_email ON tbluser(email)

Select limited records

None of the user interfaces can visualize thousands of records at once. Hence there is no way to select all the records at once, so always limit the selection when you have a large number of records. Select the required data only.

Use the most appropriate data type and correct length of the data. The bad selection of a data type will produce bulky databases and poor performance. This will improve resource utilization of the database server.

Please avoid the usage of the NOT operator situation that the number of qualifying records are lower than unqualified records. Always use a positive operator such as LIKE, EXIST than NOT LIKE, NOT EXIST.

In this article I am going to write about SQLBulkCopy and its major properties and methods. This article will give you the code for high performance transfer of rows from XML file to SQL server with SQLBulkCopy and C#.

SQLBulkCopy introduced as part of .Net framework 2.0. It is simple and easy tool to transfer complicated or simple data from one data source to other. You can read data from any data source as long as that data can be load to DataTable or read by IDataReader and transfer the data with high performance to SQL Server using SQLBulkCopy.

In real time applications every day millions of records get transferred from one data store to other. There are multiple ways to transfer the data like command prompt bcp utility of SQL Server, creating INSERT statements, creating SSIS packages and SQLBulkCopy. SQLBulkCopy gives you significant performance gain over other tools.

SQLBulkCopy Constructor

SQLBulkCopy initializes instance in four different way. 1. Accepts already open SqlConnection for destination. 2. Accepts connection string of SQLConnection. This constructor actually opens and initializes new instance of SQLConnection for destination. 3. Accepts connection string of SQLconnection and enum value of SqlBulkCopyOptions. This constructor actually opens and initializes new instance of SQLConnection for destination. 4. Accepts already opened SQLConnection and enum value of SqlBulkCopyOptions.

SQLBulkCopy BatchSize is integer property with default value of 0. It decides how many rows need to be send to the server in one batch. If you do not set any value for this property or set it as 0, all the records will be send in single batch.

Following example sets BatchSize property as 50.

bulkCopy.BatchSize = 50;

ColumnMappings

SQLBulkCopy ColumnMappings is a collection of columns which needs to be map from source table to destination table's columns. You do not need to map the columns if column names are same. However it is very important to map the columns if column names are different. If matching SQLBulkCopy does not found the matching column it throws System.InvalidOperationException.

You can map the columns in different ways, giving both column names is easy and readable method.

SqlBulkCopy is particular about matching column DataType. Both the columns has to be of same DataType. If you have nullable columns, you explicitly have to convert such columns into desired DataType.

Below code converts Null to varchar(2) and can be mapped to any varchar(2) column of destination table.

SELECT CAST(ISNULL(ShipRegion,'') as varchar(2)) as ShipRegion FROM Orders

Quick note: If you are having computed columns like SUM, AVG etc. make sure it returns in expected DataType. If your destination table expects columns with decimal(15,7) you will have to explicitly convert the source column as decimal(15,7) because SUM will by default return decimal(38,7).

DestinationTableName

It sets the name of destination table. The method WriteToServer will copy the source rows to this particular table.

Below code will set the destination table as "TopOrders".

bulkCopy.DestinationTableName = "TopOrders";

NotifyAfter and SqlRowsCopied

NotifyAfter is an integer property with default value of 0 and SqlRowsCopied is an event. The value of NotifyAfter indicates when to raise eventSqlRowsCopied.

The below code shows after processing 100 rows, event SqlRowsCopied will be executed.

WriteToServer is a method which actually processes your source table data to destination table. It accepts array of DataRows or DataTable or IDataReader. With DataTable you can also specify the state of the rows that needs to be processed.

The following code will process rows from sourceData DataTable which has RowState as Added to DestinationTable.

Microsoft's new release of SQL Server 2014 comes pretty close on the heels of the last SQL Server 2012 release. For many organizations, this could be a hurdle to adoption, because upgrading core pieces of an IT infrastructure can be both costly and resource-intensive. However, SQL Server 2014 has several compelling new features that can definitely justify an upgrade. Here are the overview of SQL 2014 features:

1. New In-Memory OLTP Engine 2. Enhanced Windows Server 2012 Integration 3. Improvement in Business Intelligence 4. Office 365 Integration 5. Etc In today post, I want to examine SQL Server 2014 In-Memory OLTP from different angles: how to start using it, provide directions for migration planning, review closely many of its limitations, discuss SQL 2014 In-Memory OLTP applicability and see where the SQL Server In-Memory OLTP can be an alternative to in-memory dynamic caching, and where it is complimentary.

The question now is what is Memory Online Transaction Processing?

SQL Server 2014’s biggest feature is definitely its In-Memory transaction processing, or in-memory OLTP, which Microsoft claims make database operations much faster. In-memory database technology for SQL Server has long been in the works under the code name “Hekaton”. Hekaton is a database engine component which is optimized for accessing Memory resident tables. This component is great, it is fully integrated into SQL 2014 database engine.

The Function of Memory Online Transaction Processing

Hekaton facilitates creation of Memory resident Tables (i.e. Memory Optimized Tables) and Indexes. Beside that, it also provide the option to compile the Transact-Sql Stored Procedure accessing Memory Optimized Tables to Machine code. With Memory Optimized Tables, it provide better performance as the core engine uses the lock free algorithm which doesn’t require any lock and latches when the Memory optimized tables are referenced during the transaction processing.

Low Cost Using In Memory OLTP

Sql Server database engine was designed in the days when Main Memory was very costly. As per this design data is stored on the disk and is loaded to the main memory as required for the transaction processing and any changes to the In-Memory data is written back to the disk. This disk IO is main bottle neck for the OLTP applications having huge number of concurrent users, as it involves waiting for locks to be released, latches to be available, waiting for the log writes to complete.

As per the current trend Main Memory prices are less expensive and enterprises can easily afford to have production database servers with Main Memory sizes in TB’s. And this declining Memory prices made Microsoft to re-think on the initial database engine which is designed in the days when Main Memory was costly. And the result of this re-think is the In-Memory OLTP (a.k.a. Hekaton) Database engine component which supports memory resident Tables and Index. In-Memory OLTP engine uses the lock free algorithm (i.e. MultiVersion Optimistic Concurrency Control) which doesn’t require any lock and latches when the Memory optimized tables are referenced during the transaction processing. And for supporting data durability it still writes to the transaction log but the amount of data which is written to the log is reduced considerably.

Migrating to SQL Server 2014 In-Memory OLTP

Migration to In-Memory OLTP has to be performed in a development environment and carefully tested. Your High-Availability design, Databases design, Tables schemas and data, stored procedures, business logic in the database and even application code – all may require many syntax changes to use In-Memory OLTP.

This is not a “click and migrate” process. It requires development cycles, application and database design and code changes.

The right way to use the In-Memory OLTP engine is:

Plan your production database architecture. The In-Memory OLTP is very different and has many limitations in terms of H/A, Mirroring, Replications available functionalities;

Plan carefully your new database (and possibly application) design;

Migrate several specific tables and procedures that are good benefit candidates;

Develop or change your business-logic to fit the new design;

Test and evaluate;

Deploy

To evaluate whether the In-Memory OLTP can improve your database performance, you can use Microsoft new AMR tool (Analysis, Migrate and Report). For helping with actual migration you can use the Memory Optimization Advisor for tables and the Native Compilation Advisor to help porting a stored procedure to a natively compiled stored procedure.

The AMR tool helps identifying the tables and stored procedures that would benefit by moving them into memory and also help performing the actual migration of those database objects. The AMR tool is installed when you select the “Complete” option of “Management Tools”, and is later accessed through SQL Server Management Studio (SSMS) in Reports –>> Management Data Warehouse Transaction performance reports tool:

The AMR tool provides reports which tables and procedures can benefit the most from In-Memory OLTP and provide a hint how complex will be the conversion. The reports show either recommendations based on usage, contention and performance. Here is example (graphics may change in the GA release):

After you identify a table that you would like to port to use In-Memory OLTP, you can use the Memory-Optimization Advisor to help you migrate the disk-based database table to In-Memory OLTP. In SSMS Object Explorer, right click the table you want to convert, and select Memory-Optimization Advisor.

Conclusion

Above article is only brief information about one of new feature in SQL 2014. Want to try more? We have supported the latest SQL 2014 hosting on our hosting environment. Just take a look on our site for more information.

Cron Jobs are used for scheduling tasks to run on the server. They're most commonly used for automating system maintenance or administration. However, they are also relevant to web application development. There are many situations when a web application may need certain tasks to run periodically. A cron job/scheduled task is a system-side automatic task that can be configured to run for an infinite number of times at a given interval. Cron/scheduled task allows you to schedule a command or a script to run at a specific time of day, or on a specific day of the week or at a particular time of day on a specific day of the month. It allow for scheduling down to the minute and up to an annual event.

Here is the simple step how to create Cron Job to Backup Your SQL Database :

Step 1. Create a folder to store the backup in your FTP applicationOpen your ftp application and connect to the account that has the database you want to back up. Create a folder outside of the webcontent called "backups".fs1-n02stor1wc1dfw2382489382489www.yoursite.combackups

Step 2. Set folder permissions in your FTP applicationRight click the folder and add all write permissions. If your Ftp software doesn't do this then checkout the free FTP client called FileZilla.

Step 3. Create a stored procedure that performs the backup with an input parameter for the filenameConnect to your database using a client and run a query like this. The procedure will be named FullBackup in this example

Step 4. Create a web page that executes the stored procedureYou can use php or asp.net for this also. For something this simple, you can use classic asp. That way there is no .dll to deal with and no application restart needed. Now create a new asp page and called it backupdb.asp. The contents of the file are as follows. When you are done, upload this file to a folder in your content area. This script will generate a filename based on the date. If a backup already exists for that date it will increment a version counter until a fresh filename is found. This script will generate 1 file per execution. Modify as needed if you want to increment a single file. Edit the location & connection string to work for you.

</body></html>Step 5. Schedule a Cron job to call the web page.Access your control panel and go to the features tab of the site with the database. Choose http as the language, Enter the URL to the asp script and your email and Schedule the job for a daily run at an off hour.

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SQL Server Backup Script to backup SQL Server databases. It loops through all the databases dynamically using a select statement to the master database where all the names of the databases are located on the instance. It backs up each database, except those specified in the WHERE clause which you can add your unwanted databases to be backed up.

Here is the script that will allow you to backup each database within your instance of SQL Server. You will need to change the @path to the appropriate backup directory.

In this script we are bypassing the system databases, but these could easily be included as well. You could also change this into a stored procedure and pass in a database name or if left NULL it backups all databases. Any way you choose to use it, this script gives you the starting point to simply backup all of your databases.

Also, if you wanted to bypass some of your user databases you can include them in the NOT IN section as well.and the next steps :

Add this script to your toolbox

Modify this script and make it a stored procedure to include one or many parameters

Enhance the script to use additional BACKUP options

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Many New Features have been provided with the New SQL Server 2014. Microsoft SQL Server 2014 brings to market, new in-memory capabilities built into the core database, and provides new cloud capabilities to simplify cloud adoption for your SQL databases and help you unlock new hybrid scenarios. In this Blog I had provided these features in the way of difference between the older and New version of SQl Server.

New features or changes to existing features in Microsoft SQL Server 2014.

Memory-optimized Tables. will help you quickly analyze your tables and walks you through reviewing and migrating disk-based table to In-Memory OLTP tables.

SQL Server Backup to URL

Encryption for Backups

New Design for Cardinality Estimation

Delayed Durability

AlwaysOn Enhancements

Business Intelligence Enhancement

The older version 2005, 2008 and 2012

SQL Server AlwaysOn. A high availability solution that increases application availability while also lowering total cost of ownership and making it easier to use.

Contained Databases, which intends to reduce or eliminate the dependencies that a database has on the SQL Server instance, making it easier to migrate a database to a new instance with less of the work involved in reproducing and validating these dependencies.

Web Development and Business Intelligence Enhancements. While business intelligence features were upgraded in SQL Server 2008 R2, Microsoft really improved Excel PowerPivot by adding more drill and KPI through.

ColumnStore Indexes. What a ColumnStore index does is essentially turn a traditional index on its side.

SQL 2008 also allows you to disable lock escalation on specific tables.

Transparent Database Encryption. The ability to encrypt an entire database without having to change any code in your application adding an additional layer to your data security.

Intellisense in SQL Server Management Studio. Interactive help as you type giving object names and syntax support similar to Visual Studio.

In SQL 2005, even with the ROWLOCK hint on delete statements locks can be escalated which can lead to deadlocks. In my testing, an application which I have developed had concurrency issues during small table manipulation due to lock escalation on SQL 2005. In SQL 2008 this problem went away.

The new features are really great and its meets the very important factors of current age. For .Net people it's always be a boon to use SQL Server, I hope using the latest version we will have better security and better performance as well as the introduction of compression the size of the database. The backup encryption utility is also phenomenon.Once again thanks to Microsoft for their great thoughts in form of software.

Learning SQL can be very rewarding. Once you have a basic understanding of SQL, you can start to develop more advanced websites, and you can (hopefully) charge more money for doing so! Now, we will give you tutorial about how to get data from Database and that Database can be fetched as Label text or textbox text: Basically, there are six step for this tutorial:

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